针对复杂相变热图序列相变线自动提取问题，提出一种基于帧间差分信息的C-V主动轮廓模型提取方法。首先建立一种基于结构特征的图像精确匹配指标，解决相变热图序列中部分帧的位置偏移问题;然后利用与模板图像的帧间差分及差分图像的对比度增强获取有效相变信息;最后在考虑帧间相变线关联性的基础上，提出一种融合形状先验特征的C-V主动轮廓模型相变线跟踪算法。实验结果表明，该算法解决了目前方法无法解决的序列图像中多相变线、拓扑变化等问题，能适应多种不同类型的模型实验物，且运算速度较经典C-V模型有很大提高。基于该算法开发的软件系统在实际中得到成功应用。

A new method based on C-V active contour model is proposed to extract phase-change line automatically from complex phase-change thermography sequence. First, an accurate image matching measure based on structural characteristics is developed to solve the location bias in some frames of phase-change thermography sequence. Second，effective phase-change information is obtained according to the inter-frame difference between the template image and the differential image contrast enhancement. Finally, a phase-change line tracking algorithm is presented by introducing shape priori characteristics into C-V active contour model. The method is able to rapidly solve multi-phase change lines and topology change problems which can’t be solved with existing methods. The effectiveness of the proposed algorithm is validated and compared to alternative methods with variant test models. The software system based on the algorithm has been successfully applied in practice.